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Global currency hedging with ambiguity / Urban Ulrych and Nikola Vasiljević.

By: Ulrych, UrbanContributor(s): Vasiljević, NikolaMaterial type: ArticleArticlePublication details: Amsterdam : Elsevier B.V., 2025. ISSN: 0378-4266Subject(s): Investors -- Currency allocation | International investors -- Currency allocation | Currency hedging | Ridge regression | International asset allocation | Optimal currency exposure | Research | Quantitative research | Journal articles (Open access)Online resources: Click here to access online In: Journal of Banking & Finance , volume 172, 1-27 pages, (March 2025).Summary: Abstract : This paper examines the issue of optimal currency allocation for an international investor who is both risk- and ambiguity-averse. Utilizing a robust mean–variance model that incorporates smooth ambiguity preferences, we derive a closed-form solution for the optimal currency exposure. Within this theoretical framework, the demand for optimal currency hedging is formulated as the solution to a generalized ridge regression. Our findings indicate that the investor’s aversion to model uncertainty increases the demand for hedging. The empirical analysis illustrates that ambiguity introduces greater estimation bias and narrows the confidence interval of the optimal currency exposure estimator. An out-of-sample backtest further demonstrates that incorporating ambiguity into the model improves the stability of optimal currency allocation over time and significantly reduces portfolio volatility after accounting for transaction costs.
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Includes bibliographical references.

Abstract : This paper examines the issue of optimal currency allocation for an international investor who is both risk- and ambiguity-averse. Utilizing a robust mean–variance model that incorporates smooth ambiguity preferences, we derive a closed-form solution for the optimal currency exposure. Within this theoretical framework, the demand for optimal currency hedging is formulated as the solution to a generalized ridge regression. Our findings indicate that the investor’s aversion to model uncertainty increases the demand for hedging. The empirical analysis illustrates that ambiguity introduces greater estimation bias and narrows the confidence interval of the optimal currency exposure estimator. An out-of-sample backtest further demonstrates that incorporating ambiguity into the model improves the stability of optimal currency allocation over time and significantly reduces portfolio volatility after accounting for transaction costs.

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